![]() ![]() ![]() Each of the three analysis methods outlined as follows describes tools and process of predicting the blade temperature of a candidate blade design. Approaches to obtaining these temperatures and loads have evolved as computational methods have improved and become more practical. These temperatures and the predicted aerodynamic loads allow for stress predictions to be performed, and the durability of the blade to be established. As such, a goal of cooled turbine blade simulation is to determine metal temperatures throughout the blade. Safe and efficient operation of gas turbines relies on the cooling provided by air routed through internal passageways built into the blades. The environment in which turbine blades operate is harsh, with temperatures significantly higher than the melting point of the metal blades themselves. Jose Rodriguez of Siemens PG said, “Being able to rapidly obtain turbine blade metal temperatures that are within engineering accuracy of experimentally-measured values is enabling us to discover improved gas turbine designs, faster.†Progressing Beyond the Traditional Results obtained with the STAR-CCM+ Conjugate Heat Transfer (CHT) CFD simulations are highly accurate, with blade metal temperature predictions consistently within 8% of experimental test values 1. This innovative workflow is based on the Siemens PLM Simcenter platform using NX for 3D CAD geometry generation and STAR-CCM+ software for multiphysics CFD simulation. Siemens PG now uses three-dimensional computational fluid dynamics (CFD) simulations to predict the complex flow-field and turbine blade metal temperatures accurately and rapidly enough to have an impact on day-to-day engineering decisions. (right) Aerodynamic and thermal prediction. ![]() (left) Candidate blade design with complex cooling features. ![]() 1: Aerodynamic and thermal prediction of a candidate blade design. ![]()
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